544 machine-learning-"https:"-"https:"-"https:"-"https:"-"The-Open-University" positions at Pennsylvania State University
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teaching-related tasks as assigned Requirements, qualifications, and/or competencies: Prior completion of MGMT 481 Must be available to work weekends Willingness to learn Qualtrics Schedule: January 2026
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candidates will engage and educate K-12 youth through high-energy, hands-on science experiences at the University Park, PA campus. Applicants must possess or be willing to learn the skills needed to fulfill
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independently and as part of a team; A commitment to professional development, learning, and being mentored; Minimum of 2 years experience in a professional environment; Proven experience in providing high
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the security of the building at times during working hours Adjust heating and ventilating and shower systems as required Responsible for the operation of the laundry washer and drying machine and the recording
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partnership with the faculty instructor to implement targeted course improvements informed by experience with previous offerings and student learning data. Applicants should have demonstrated success supporting
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. Developing relationships with high school counselors, independent counselors, and community-based organizations within the territory, helping them to understand admissions policies and learn about
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Acoustics graduate students at the University Park campus, and over 100 students online who are seeking or considering M.Eng. degrees or a Graduate Certificate through the distance learning option
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start date. Clinical supervision towards licensure available. The position includes negotiable start-up funds. The successful candidate will: Teach clinical and general undergraduate psychology courses
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of the law school may be explored, but hired faculty are expected to primarily teach legal writing courses. Candidates may bring a wide range of qualifications, including relevant teaching or practice
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on specific tasks so there will be plenty of opportunity to learn and be heard. Job responsibilities: Build responsive, scalable, and beautiful web components that solve pressing challenges in genomic data